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Predicting Employee Tenure in a company using Machine Learning Predicting model

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dc.contributor.author Jayakody, Gayantha
dc.date.accessioned 2024-02-14T09:14:22Z
dc.date.available 2024-02-14T09:14:22Z
dc.date.issued 2023
dc.identifier.citation Gayantha Jayakody, Gayantha (2023) Predicting Employee Tenure in a company using Machine Learning Predicting model. MSc. Dissertation, Informatics Institute of Technology en_US
dc.identifier.issn 20211063
dc.identifier.uri http://dlib.iit.ac.lk/xmlui/handle/123456789/1675
dc.description.abstract "In any company the human resources are the key assets. though they have billon of fixed assets in their balance sheets, the growth of the company is determined on whether they have the right people at the right position. With the evolution more sophisticated demand of the employees, the companies find it very hard to have the futuristic succession plan with the higher turnover of the employees due to many reasons. In a company, recruitment is a long process, which involves lot of time and effort from various departments, individuals, but still getting a right candidate for the right position is difficult task. Therefore, lot of frustration, desperation is embedded to the process and the head of departments who does the interview is eventually fed-up with the amount of time & effort put on this. However, with the improvement of technology and advanced theory & study done on recruitment process now it has several ways to select the best fit for the given job. By using those techniques, the recruiter can evaluate the candidates and its give better evaluation of the candidates. This includes aptitude test, psychometric test and technical test like Accounting, IT, Excel practice test etc. Though there are ways to selecting the best candidates for the given job, there is another concern for the employer perspective. Though we selected the right candidate , the tenure that the employee remain in the organization is highly doubtful. Specially with the young generation unlike the older generations tend to change the jobs very frequently. Gone are the days that we have seen “Life time employment “in organizations, with the i Gen /Gen Z , now in the workforce, its hard to predict their decision making process as its highly dynamic. Mostly the new generations are very quick to shift jobs and move to get different exposure, most often it may not be a logical progressive reason but merely an emotional reasons like “manager scolding / giving hard feedback etc”. Therefore, it has become even difficult to predict the employee tenure in one organization. Therefore, its vital to company to have an idea on how long that employee will remain in the organization. That is a critical factor for the head of the departments mainly due to few reasons. • Return on investment of staff- most of the organizations are heavily investing on the staff training & development. 7 • Succession planning – This need to be in place for any organization. In order to smooth running of the department with out any issue. Therefore, its good to have a mechanism to predict the employee stay in the organization, which makes life easier for the management for decision making. And this will save lot of Management Time & effort. Employees are given so many promises at the interview but most often its only matter of time that they find another offer better than the one he/she got" en_US
dc.language.iso en en_US
dc.publisher IIT en_US
dc.title Predicting Employee Tenure in a company using Machine Learning Predicting model en_US
dc.type Thesis en_US


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